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sionic-ai
/
sionic-ai-v1

Feature Extraction
Transformers
English
mteb
sentence-similarity
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use sionic-ai/sionic-ai-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sionic-ai/sionic-ai-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sionic-ai/sionic-ai-v1")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sionic-ai/sionic-ai-v1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sionic-ai-v1
71.6 kB
Ctrl+K
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  • 2 contributors
History: 17 commits
sionic's picture
sionic
Update python examples to compute cosine similarity
532895e over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    66.9 kB
    Update python examples to compute cosine similarity over 2 years ago
  • model_api.py
    1.5 kB
    Rename the class and add a parameter, 'dimension' to support both versions over 2 years ago
  • mteb_evaluate.py
    1.68 kB
    Rename the class over 2 years ago